CN102692875A - Method for realizing main steam pressure tracking optimization of steam turbine - Google Patents
Method for realizing main steam pressure tracking optimization of steam turbine Download PDFInfo
- Publication number
- CN102692875A CN102692875A CN2012101851948A CN201210185194A CN102692875A CN 102692875 A CN102692875 A CN 102692875A CN 2012101851948 A CN2012101851948 A CN 2012101851948A CN 201210185194 A CN201210185194 A CN 201210185194A CN 102692875 A CN102692875 A CN 102692875A
- Authority
- CN
- China
- Prior art keywords
- main steam
- pressure
- steam pressure
- turbine
- optimization
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Landscapes
- Control Of Turbines (AREA)
Abstract
The invention provides a method for realizing main steam pressure traction optimization of a steam turbine on the basis of mathematical modeling of heat loss correlated quantity and relates to a control technology of variable working condition optimized operation of a power station steam turbine. According to the method, a correlation variable K between heat loss and main steam pressure of a turbine unit is proposed; according to core parameters correlated with the main steam pressure and heat loss of the turbine unit, such as main steam flow, main steam pressure, exhaust steam pressure of a high-pressure cylinder, exhaust steam temperature of the high-pressure cylinder, attemperating water flow, one-section extraction pressure, one-section extraction temperature, rotation speed of a small steam turbine or current of an electric pump and condenser backpressure, a comprehensive equivalent heat loss K is obtained through an equivalent enthalpy drop method; and an operation tracking optimization model is established by taking the intermediate variable K as a target function. Through the modeling optimization of the intermediate variable K, the main steam pressure curve of the turbine unit under different main steam flows is determined and the tracking control of the main steam pressure is performed further. A characteristic database is updated according to the real-time operation parameters so that the main steam pressure curve is closer to the theoretically optimized operation curve of the turbine unit.
Description
Technical field
The present invention relates to a kind of optimal control method of thermo-mechanical machine, particularly progress control method is optimized in the variable working condition of power station steam turbine.
Background technology
Energy-saving and emission-reduction become the much-talked-about topic that the whole world is paid close attention to the most gradually, improve energy utilization rate, reduce energy resource consumption, have just like become the historical important task that all trades and professions researchist is born.And electric power is as the constantly progressive support industry of industrial development and social economy, and wherein the coal resources of heat power station consumption account for the half the of coal total flow, on energy structure, are in very important position.
Because difference is very obvious constantly for Various Seasonal such as commercial production electricity consumption, civilian electricity, difference.In order to satisfy the needs of user's greatest requirements, electric power installation total volume often is in serious over capacity state, thereby causes China's genset for a long time, frequently to be in the running on the lower load operation.The labile factor of global economy is more and more; International economy is more and more come obvious more to the influence of domestic electricity needs; Cause the erratic fluctuations of electricity needs more and more frequent, thus in China's fired power generating unit, the efficient operation of underload has higher requirement.
Many indexs such as the economy of comprehensive consideration genset, security and stability, commanded response characteristic, China's Turbo-generator Set generally adopts fixed-comprehensive sliding pressure operation mode of cunning-Ding at present.That is adopted decide-slide-Dings comparatively coarse pressure-load curve that the sliding pressure operation curve mostly provides according to device fabrication side; Its performance driving economy receives the influence of operational factor off-design operating modes such as main steam temperature, turbine back pressure, the heat supply unit amount of drawing gas bigger, reduces the performance driving economy of unit.
Through operation research and operation accumulation for many years; Domestic each electric power research unit adopts main steam temperature correction, back pressure correction, main steam flow correction ways such as (or specific steam consumption corrections) that original pressure-load sliding pressure operation curve is revised in succession, has obtained good effect.And whether pressure-load curve is reasonable; Whether corrections such as main steam temperature, back pressure, specific steam consumption are accurate etc.; Need carry out a large amount of variable working condition test to every unit and carry out research summary, and the condition that is put to the test, the reliability/precision of testing equipment, the quality of testing crew or the like influence is bigger.Domestic also have colleges and universities propose to adopt machine learning to carry out mathematical modeling, sets up the mathematical model between the parameters such as hear rate and main steam pressure, main steam temperature, unit load, environment temperature, and employing genetic algorithm etc. finds the solution, thereby carry out real-time optimization.This way has been bypassed traditional optimal curve template, utilizes the way of machine learning and reconstruct to carry out pressure optimized, and notion is novel, and thinking is better.Yet, because hear rate receives the influence of the multiple parameter of system, only depend on parameters such as main steam pressure, temperature, environment temperature, load to be difficult to realize the unit hear rate is carried out comprehensive modeling, can't obtain reliable Optimization Model, this way also rests on the imagination stage.Therefore, the most domestic unit all can't move according to the operation curve of decide-slide-Dinging of economy at present, and the performance driving economy of unit receives influence to a certain degree.
Summary of the invention
The present invention overcomes the internal vapor turbine to optimize the technological deficiency that the operation field exists; Fundamentally solve the problem of unit main steam pressure real-time optimization, propose a kind of based on the related amount of hear rate is carried out the method that mathematical modeling realizes that the tracking of steam turbine main steam pressure is optimized.
Steam turbine main steam pressure of the present invention is followed the tracks of optimization method and is proposed a unit hear rate and the middle associated variable K of main steam pressure; Close several core parameters of online group main steam pressure and hear rate according to main steam flow, main steam pressure, main steam temperature, high pressure cylinder exhaust steam pressure, high pressure cylinder exhaust temperature, desuperheating water flow, one section extraction pressure, one section extraction temperature, little steam turbine rotating speed (or electric pump electric current), back pressure of condenser etc.; Follow the tracks of modeling at different load with the actual operating data under the different main steam pressures, setting up with intermediate variable K is the mathematical model of objective function.Through modeling optimization, confirm the main steam pressure curve of unit under different main steam flows, and then carry out the main steam pressure tracking Control middle variable K.
Technical scheme of the present invention is following:
Choose the middle associated variable K of unit hear rate and main steam pressure, promptly according to equivalent enthalpy drop method with main steam pressure<p1>Change the main steam flow that causes<d>, main steam temperature<t1>, the high pressure cylinder exhaust steam pressure<p2>, the high pressure cylinder exhaust temperature<t2>, the desuperheating water flow<q>, one section extraction pressure<p
1c>, one section extraction temperature<t
1c), little steam turbine rotating speed<n>Or electric pump electric current<i>, back pressure of condenser<pb>Be converted to combined influence etc. the parameter variation to hear rate; Set up the property database A={D of main steam pressure and associated variable K, P1, T1, P2, T2, q, P
1c, T
1c, n (or I), Pb, K, t}, t are time data; According to property database associated variable K is carried out the extreme value optimizing by main steam flow and set up unit operation main steam pressure optimal curve; Through the main steam pressure under the main steam pressure optimal curve control unit specific operation; And property database is carried out real-time update, and then guarantee the optimization of main steam pressure curve according to the data of real time execution collection.
Innovative point of the present invention is:
1, the present invention abandons and conventional adopts producer to provide decide-slide-to Ding operation curve to carry out pressure controlled way, and employing real-time follow-up Optimization Model is set up main steam pressure optimum control curve, the economy of raising unit.
2, the present invention chooses the associated variable K between unit hear rate and the main steam pressure, carries out main steam pressure and docks with the function of unit hear rate.Evaded other parameters of system of influencing the unit hear rate (as the heat regenerative system parameter, in/low pressure (LP) cylinder operational factor, the parameter etc. of drawing gas) etc. the uncertain influence that brings, improved the precision of mathematical model greatly, improve the optimization effect of unit.
3, mathematical control model of the present invention adopts contrast optimizing related algorithm, has evaded relevant parameters such as main steam pressure, main steam temperature and has measured the influence of absolute error to mathematical model control curve precision.Compare with the way that tradition relies on the high precision performance optimization Test to carry out main steam pressure operation optimization; The present invention is simple to operate; And the influence of factors such as the equipment precision that is not put to the test, testing crew level, constancy of test condition really realizes the software intelligent optimization.
4, the real-time running data according to unit carries out real-time update to the main steam pressure operation curve, and main vapour pressure is carried out progressively optimal control.Rely on the fixing operation curve of decide-slide-Dinging to carry out pressure controlled method and compare with tradition; The former can along with the unit longterm operating economy worse and worse; And meeting of the present invention is along with the long-time running of unit; The main steam pressure control curve is the approximation theory optimal control curve more and more, and effect is become better and better.
5, the present invention possesses better self-adapting ability, can be widely used in the unit of different capabilities, realizes optimum control scheme.
Description of drawings
Fig. 1 is the implementing procedure figure of the inventive method.
Embodiment
Steam turbine main steam pressure of the present invention is followed the tracks of optimization method and mainly may further comprise the steps:
(1) sets associated data real-time sampling parameter, like frequency acquisition, communications protocol etc.;
(2) from turbine monitoring infosystem SIS or Distributed Control System (DCS) DCS, regularly choose data set:
B={ D, P1, T1, P2; T2, n (or I), Pb}, wherein D is a main steam flow; P1 is a main steam pressure, and T1 is a main steam temperature, and P2 is the high pressure cylinder exhaust steam pressure, and T2 is the high pressure cylinder exhaust temperature; N is little steam turbine rotating speed (for feed pump is the unit of electric pump, and I is the electrically driven feed pump electric current), and Pb is a back pressure of condenser.
(3) data set B is put into the advance data station;
(4) be that coordinate upgrades the corresponding array among the property database A with the data in real time in the advance data station with [D, P1]; According to equivalent enthalpy drop method the node array among the property database A is carried out computational analysis, find the solution associated variable K, and put into respective nodes;
(5) take the way of extreme value optimizing to be optimized according to property database A to associated variable K; Generate the main steam pressure optimal curve; Judge whether the main steam pressure curve meets the safe and stable operation basic demand, get into (6), otherwise directly get into (7) as satisfying;
(6) upgrade the main steam pressure optimal curve;
(7) confirm the main steam pressure set-point according to main steam pressure curve and current main steam flow;
Set the total aperture of pitch through DCS control, regulate main steam pressure to set-point.
Claims (5)
1. the steam turbine main steam pressure is followed the tracks of optimization method, it is characterized in that: set up the family curve of main steam pressure and main steam flow, confirm required main steam pressure with main steam flow as input quantity.
2. follow the tracks of optimization method according to the described steam turbine main steam pressure of claim 1, it is characterized in that proposing a middle associated variable K, set up the funtcional relationship between main steam pressure and the Steam Turbine hear rate, carry out the pressure optimizing to replace hear rate.
3. follow the tracks of optimization method according to the described steam turbine main steam pressure of claim 1; It is characterized in that utilizing the service data of main steam flow, main steam pressure, main steam temperature, high pressure cylinder exhaust steam pressure, high pressure cylinder exhaust temperature, desuperheating water flow, one section extraction pressure, one section SIS system such as extraction temperature, little steam turbine rotating speed or electric pump electric current to carry out function modelling; Set up the main steam pressure property database, realize the method for main steam pressure accurate optimization.
4. follow the tracks of optimization method according to the described steam turbine main steam pressure of claim 3, it is characterized in that main steam flow, main steam pressure, main steam temperature, high pressure cylinder exhaust steam pressure, high pressure cylinder exhaust temperature, desuperheating water flow, one section extraction pressure, one section service data such as extraction temperature, little steam turbine rotating speed or electric pump electric current also can take from the DCS system.
5. follow the tracks of optimization method according to claim 1,2,3,4 described steam turbine main steam pressures, it is characterized in that middle associated variable is set up Optimization Model, to confirm the main steam pressure optimal curve.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2012101851948A CN102692875A (en) | 2012-06-07 | 2012-06-07 | Method for realizing main steam pressure tracking optimization of steam turbine |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2012101851948A CN102692875A (en) | 2012-06-07 | 2012-06-07 | Method for realizing main steam pressure tracking optimization of steam turbine |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN102692875A true CN102692875A (en) | 2012-09-26 |
Family
ID=46858418
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2012101851948A Pending CN102692875A (en) | 2012-06-07 | 2012-06-07 | Method for realizing main steam pressure tracking optimization of steam turbine |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102692875A (en) |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103216282A (en) * | 2013-04-24 | 2013-07-24 | 华北电力大学 | Thermal power generating unit loading control system and method based on continuously adjustable back pressure |
| CN104131847A (en) * | 2014-06-30 | 2014-11-05 | 华电国际电力股份有限公司技术服务中心 | Automatic optimization control system and method of rated sliding pressure of steam turbine unit |
| CN106124119A (en) * | 2016-08-01 | 2016-11-16 | 中国神华能源股份有限公司 | Steam turbine extraction pressure flexible measurement method |
| CN106297925A (en) * | 2016-07-28 | 2017-01-04 | 董哲 | The water-supply scheme of a kind of multi-module type HTGR Nuclear Power Plant, dynamic model and regulation and control method |
| CN106325077A (en) * | 2016-11-17 | 2017-01-11 | 贵州电网有限责任公司电力科学研究院 | Online monitoring method for turbine load fluctuation based on steam flow judgment |
| CN108930565A (en) * | 2018-07-30 | 2018-12-04 | 深圳众诚联合能源科技有限公司 | A kind of Steam Turbine peak regulation optimization method and system |
| CN109086551A (en) * | 2018-08-28 | 2018-12-25 | 黑龙江苑博信息技术有限公司 | A kind of turbine optimal sliding pressure curve acquisition method suitable for air Cooling and heat supply unit variable working condition |
| CN113094896A (en) * | 2021-04-07 | 2021-07-09 | 国能(泉州)热电有限公司 | Power plant heat supply unit optimization control method |
| CN114658499A (en) * | 2022-02-28 | 2022-06-24 | 华电电力科学研究院有限公司 | Method and device for controlling operation of steam turbine of thermal power plant |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS58107903A (en) * | 1981-12-22 | 1983-06-27 | Toshiba Corp | Process controlling method using model |
| JPH06241003A (en) * | 1993-02-19 | 1994-08-30 | Toshiba Corp | Starting method for steam turbine |
| CN102073773A (en) * | 2011-01-18 | 2011-05-25 | 王卫良 | Main steam pressure tracking optimization method for steam turbine |
| CN102436177A (en) * | 2011-10-24 | 2012-05-02 | 长春工业大学 | Automatic control device for multiple-effect water distillator |
-
2012
- 2012-06-07 CN CN2012101851948A patent/CN102692875A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS58107903A (en) * | 1981-12-22 | 1983-06-27 | Toshiba Corp | Process controlling method using model |
| JPH06241003A (en) * | 1993-02-19 | 1994-08-30 | Toshiba Corp | Starting method for steam turbine |
| CN102073773A (en) * | 2011-01-18 | 2011-05-25 | 王卫良 | Main steam pressure tracking optimization method for steam turbine |
| CN102436177A (en) * | 2011-10-24 | 2012-05-02 | 长春工业大学 | Automatic control device for multiple-effect water distillator |
Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103216282B (en) * | 2013-04-24 | 2014-12-03 | 华北电力大学 | Thermal power generating unit loading control system and method based on continuously adjustable back pressure |
| CN103216282A (en) * | 2013-04-24 | 2013-07-24 | 华北电力大学 | Thermal power generating unit loading control system and method based on continuously adjustable back pressure |
| CN104131847A (en) * | 2014-06-30 | 2014-11-05 | 华电国际电力股份有限公司技术服务中心 | Automatic optimization control system and method of rated sliding pressure of steam turbine unit |
| CN104131847B (en) * | 2014-06-30 | 2016-02-24 | 华电国际电力股份有限公司技术服务中心 | Steam Turbine determines sliding pressure Automatic Optimal control system and automatic optimization method thereof |
| CN106297925A (en) * | 2016-07-28 | 2017-01-04 | 董哲 | The water-supply scheme of a kind of multi-module type HTGR Nuclear Power Plant, dynamic model and regulation and control method |
| CN106124119B (en) * | 2016-08-01 | 2019-02-12 | 中国神华能源股份有限公司 | Steam turbine extraction pressure flexible measurement method |
| CN106124119A (en) * | 2016-08-01 | 2016-11-16 | 中国神华能源股份有限公司 | Steam turbine extraction pressure flexible measurement method |
| CN106325077A (en) * | 2016-11-17 | 2017-01-11 | 贵州电网有限责任公司电力科学研究院 | Online monitoring method for turbine load fluctuation based on steam flow judgment |
| CN106325077B (en) * | 2016-11-17 | 2019-11-05 | 贵州电网有限责任公司电力科学研究院 | A kind of steam turbine load fluctuation on-line monitoring method based on steam flow judgement |
| CN108930565A (en) * | 2018-07-30 | 2018-12-04 | 深圳众诚联合能源科技有限公司 | A kind of Steam Turbine peak regulation optimization method and system |
| CN109086551A (en) * | 2018-08-28 | 2018-12-25 | 黑龙江苑博信息技术有限公司 | A kind of turbine optimal sliding pressure curve acquisition method suitable for air Cooling and heat supply unit variable working condition |
| CN109086551B (en) * | 2018-08-28 | 2023-01-13 | 黑龙江苑博信息技术有限公司 | Method for acquiring optimal sliding pressure curve of steam turbine suitable for variable working conditions of air cooling heat supply unit |
| CN113094896A (en) * | 2021-04-07 | 2021-07-09 | 国能(泉州)热电有限公司 | Power plant heat supply unit optimization control method |
| CN113094896B (en) * | 2021-04-07 | 2022-12-20 | 国能(泉州)热电有限公司 | Power plant heat supply unit optimization control method |
| CN114658499A (en) * | 2022-02-28 | 2022-06-24 | 华电电力科学研究院有限公司 | Method and device for controlling operation of steam turbine of thermal power plant |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102692875A (en) | Method for realizing main steam pressure tracking optimization of steam turbine | |
| CN102073773A (en) | Main steam pressure tracking optimization method for steam turbine | |
| CN103872694B (en) | The capacity optimization of regional wind power group energy-accumulating power station and auxiliary peak regulating method thereof | |
| CN113822496B (en) | Multi-unit thermal power plant heat supply mode and parameter online optimizing method | |
| CN107153885B (en) | Real-time power generation plan optimization method considering deep peak shaving of thermal power generating unit | |
| CN114424217A (en) | Optimization method and device of integrated energy system and computer readable storage medium | |
| CN101187804A (en) | Thermal power unit operation optimization rule extraction method based on data excavation | |
| CN110518643B (en) | Control method and device for energy storage combined thermal power generating unit to participate in AGC frequency modulation | |
| WO2015154318A1 (en) | Daily electricity generation plan making method of cascade hydraulic power plant group | |
| CN103742901B (en) | A kind of defining method of Properties of CFB power consumption analysis optimization target values system | |
| CN103699941A (en) | Method for making annual dispatching operation plan for power system | |
| CN108490790A (en) | A kind of overheating steam temperature active disturbance rejection cascade control method based on multiple-objection optimization | |
| CN101498457A (en) | Boiler combustion optimizing method | |
| CN102193532A (en) | Automatic start-up and shut-down optimization control system of heat-engine plant unit plant | |
| CN114503120A (en) | Simulation method and device of integrated energy system and computer readable storage medium | |
| US20160025071A1 (en) | Method of computing theoretical power of wind farm based on sample wind turbine method | |
| CN102682409A (en) | Optimal scheduling method of nonlinear-programming cascade reservoir group based on GAMS (general algebraic modeling system) | |
| CN104377724A (en) | Coordinated optimization control method for improving economical efficiency of wind power/photovoltaic hybrid energy storage system | |
| CN109376426B (en) | Wind power grid-connected power scheduling method and device | |
| CN105512800A (en) | Method for determining peak adjustment scheduling of heat supply unit according to mode of ordering power by heat | |
| CN108252276A (en) | A kind of plant without storage's automatic optimization method based on adjusting of contributing | |
| CN114450682A (en) | Control method and device of integrated energy system and computer readable storage medium | |
| CN101859098A (en) | Boiler combustion rate self-optimizing method based on PID control policy | |
| CN108335045B (en) | Automatic optimization method for radial flow type hydropower station based on opening degree adjustment | |
| CN103489043B (en) | The optimization method of a kind of wind-powered electricity generation installation and energy-storage battery capacity ratio |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C02 | Deemed withdrawal of patent application after publication (patent law 2001) | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20120926 |